glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

gemma-3-27b-it-qat

LM-STUDIO MLX

gemma3 · 27B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score

76 vs 76

Hardware Fit

73 vs 51

Quality Score

77 vs 87

Hardware

glm-4.7-flash:bf16 gemma-3-27b-it-qat

MachineNVIDIA NVIDIA_DGX_SparkMac mini

CPUCortex-X925Apple M4 Pro

Cores2014

RAM122 GB64 GB

GPUDevice 2e12Apple M4 Pro

OSUbuntu 24.04.4 LTSmacOS 15.7.4

Archarm64arm64

Power Modeperformancebalanced

Performance

glm-4.7-flash:bf16 gemma-3-27b-it-qat

Tokens/sec25.88.9

First chunk605 ms3976 ms

TTFT605 ms4.0 s

Load time44.2 sN/A

Memory usage57.0 GB15.7 GB

Memory %47%25%

HW Fit Score Breakdown

glm-4.7-flash:bf16

Speed

27/50

TTFT

20/20

Memory

26/30

gemma-3-27b-it-qat

Speed

12/50

TTFT

9/20

Memory

30/30

Quality

glm-4.7-flash:bf16

Reasoning

13/20

Coding

17/20

Instruction

12/20

Structured

15/15

Math

10/15

Multilingual

10/10

Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

gemma-3-27b-it-qat

Reasoning

16/20

Coding

18/20

Instruction

17/20

Structured

15/15

Math

11/15

Multilingual

10/10

Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

View glm-4.7-flash:bf16 details | View gemma-3-27b-it-qat details

Run yours and compare

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest